Peptide Source

Peptide source research focuses on developing methods for designing, identifying, and characterizing peptides, particularly for therapeutic applications. Current efforts leverage machine learning, employing transformer-based language models, graph neural networks, and generative models like those based on reinforcement learning, to predict peptide properties, design novel sequences with desired characteristics (e.g., antimicrobial activity, cell penetration), and improve the accuracy of peptide sequencing from limited data. These advancements are significantly impacting drug discovery and development by accelerating the identification of promising peptide candidates and optimizing their properties for improved efficacy and safety.